Inferential Statistics
Inferential statistics involves using data from a sample to infer details about a population. These guides will give you the tools you need to interpret your data and gain insight into what it all means.

The Difference Between Type I and Type II Errors in Statistics

How to Find Degrees of Freedom in Statistics

Examples of Maximum Likelihood Estimation

Examples of Confidence Intervals for Population Means

Follow This Example of a Hypothesis Test

Stop Making These 4 Mistakes With Your Confidence Intervals

Do You Know How to Calculate the Margin of Error?

What Does It Mean to 'Fail to Reject' a Hypothesis?

What Is a Sampling Distribution?

Parametric and Nonparametric Methods in Statistics

What is an ANOVA Calculation?

Degrees of Freedom in Statistics and Mathematics

What is the Runs Test for Random Sequences?

It's Important to Know the Difference Between Alpha and PValues

Learn What Level of Alpha Determines Statistical Significance

Critical Values with a ChiSquare Table

What Is ANOVA and When Is It Used?

How Confidence Intervals Are Used to Calculate Different Parameters

Which is Worse: Type I or Type II Errors in Statistics?

What Sample Size Do You Need for a Certain Margin of Error?

How to Calculate Confidence Interval for a Mean When You Know Sigma?

See an Example of a Confidence Interval for a Variance

Example ChiSquare Test for a Multinomial Experiment

Degrees of Freedom for Independence in TwoWay Table

Confidence Intervals for the Difference of Two Population Proportions

What is a Permutation Test?

Calculating a Confidence Interval With an Unknown Standard Deviation